How to Use the Airship MCP in OpenAI Agents SDK
Build production messaging agents with Airship and the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Airship MCP to OpenAI Agents SDK
Create your Vinkius account to connect Airship to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Trigger push alerts via OpenAI Agents SDK
The Airship MCP Server gives your production agents direct control over mobile messaging. Your system calls `send_push_notification` to dispatch alerts based on live triggers, while built-in guardrails validate the payload before anything hits a user's phone. Tracing through the OpenAI dashboard shows exactly when an agent decides to message a user. You can verify the delivery loop by having the agent call `get_push_status` immediately after sending.
Map devices to named users
Managing identity across mobile platforms requires accurate device mapping. Agents use `associate_named_user` to link anonymous hardware identifiers to known customer profiles in your database. If a handoff occurs between a support agent and a marketing agent, the new context retains the user mapping. The system can then pull `get_channel_details` to confirm the target device accepts push payloads.
Read audience segments natively
Your agent needs to know who it is talking to before broadcasting. It runs `list_segments` and `list_static_lists` to pull available audience cohorts directly into its context window. Instead of hardcoding targeting logic, the agent evaluates `get_segment_details` to understand the exact criteria of a group. It then applies `list_tags` to refine the audience before executing a campaign.
Set up Airship MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Airship tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Airship tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Airship tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Airship Agent",
instructions="You have access to Airship tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Airship. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Airship MCP in OpenAI Agents SDK
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